"Creating or obtaining a market map for AI video generation" matching MCP servers:

Turns text scripts into complete videos with stock footage, AI narration, and subtitles via MCP tools for AI assistants.

Enables AI agents to produce professional promo videos by providing tools for capture, media search, scene writing, rendering, editing, and incremental revision.

Enables AI image generation using Doubao Seedream models and video generation using Doubao Seedance models through Volcano Engine's API, supporting text-to-image, image-to-image, text-to-video, and task status queries.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

Connects AI assistants and agents to the Topaz Video AI engine so they can inspect frames, detect faces, pick optimal upscale models, preview and run headless background renders, and track job progress with anti-plastic photorealism presets. Automates smart resolution rules, texture blending, and before/after comparisons for realistic video enhancement.

Enables AI assistants to analyze long-form videos for viral highlights, render selected segments into 9:16 vertical shorts with speaker tracking and animated karaoke subtitles, and run the complete clipping pipeline automatically.

MCP server that provides a local Web production console and HTTP control plane for AI video creation, exposing tools for project/revision management, media analysis, editing, review, and delivery while keeping formal rendering behind explicit approval gates.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Lets AI agents inspect local or remote videos by reading metadata, detecting shots and cuts, extracting frames as images, and checking keyframes for seeking and streaming, all via local FFmpeg without an API key.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Enables generation and enhancement of videos through a unified entry point to 200+ video models (Kling, Hailuo, Seedance, Vidu, Wanxiang), covering text-to-video, image-to-video, start-end frame interpolation, reference-to-video, video upscaling, and digital-human talking-head clips. Built for short-video operations, ad placement, and drama teams that would otherwise juggle several platforms for a single clip.

Enables AI assistants and MCP clients to ingest audiovisual media from local files or yt-dlp-supported URLs, producing timestamped transcripts and scene-selected keyframes with exact-frame drill-down and transcript search.

An async video generation MCP server with multi-provider support. Currently in skeleton phase with stub implementations, it will eventually enable video generation through providers like Veo 3.1, Grok Imagine Video, and Sora 2 Pro.

An MCP server that enables LLMs to analyze video content by extracting frames as base64 images and retrieving video metadata using ffmpeg.

A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.

An MCP server for programmatic video editing using ffmpeg, enabling draft creation and refinement via natural language.

MCP server for programmatic video generation. Send a prompt, get an MP4.

Enables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.